{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Machine Learning Tech Brief By HackerNoon","title":"AI Agents vs. Agentic AI: Which Should You Build?","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/7139359e\"></iframe>","width":"100%","height":180,"duration":1089,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/ai-agents-vs-agentic-ai-which-should-you-build.\nAI Agents and Agentic AI are often used interchangeably, but they're not the same. In this guide, we'll break down the differences.\nCheck more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.\n            You can also check exclusive content about #ai-agents, #agentic-ai, #ai-agent-architecture, #autonomous-agents, #multi-agent-systems, #ai-workflows, #human-in-the-loop-ai, #enterprise-ai,  and more.\nThis story was written by: @cloudsavant. Learn more about this writer by checking @cloudsavant's about page,\n            and for more stories, please visit hackernoon.com.\nThe article draws a practical distinction between AI agents, which handle specific bounded tasks, and agentic AI systems, which pursue broader goals through planning, multiple steps, tool use, and adaptive recovery.\n\nIt then backs that distinction with code examples, decision frameworks, architecture patterns, and safety guidance, including human approval, iteration limits, logging, chaos testing, and blast-radius controls.","thumbnail_url":"https://img.transistorcdn.com/KyA01h2FD2insgk-wX_xzV6vbJnTNl2BvPYVL-XaI9A/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjcyLzE2ODM1/ODI0ODgtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}